Predictive Software Engineering: Transform Custom Software Development into Effective Business Solutions

descriptionPublicationkeyboard_double_arrow_right Article 12 Jan 2022Publisher:Everant JournalsJournal:Journal of Economics, Finance And Management Studies, volume 5 (issn: 2644-0490, eissn: 2644-0504,

Copyright policy )

Authors: Boris Kontsevoi; Sergey Kizyan;

doi: 10.47191/jefms/v5-i1-09

Predictive Software Engineering: Transform Custom Software Development into Effective Business Solutions

- Summary
- Subjects
- Metrics

Abstract

The paper examines the principles of the Predictive Software Engineering (PSE) framework. The authors examine how PSE enables custom software development companies to offer transparent services and products while staying within the intended budget and a guaranteed budget. The paper will cover all 7 principles of PSE: (1) Meaningful Customer Care, (2) Transparent End-to-End Control, (3) Proven Productivity, (4) Efficient Distributed Teams, (5) Disciplined Agile Delivery Process, (6) Measurable Quality Management and Technical Debt Reduction, and (7) Sound Human Development.

Keywords

Agile, Disciplined Agile Delivery, Distributed Team, Predictive Software Engineering, Measurable Quality Management and Technical Debt Reduction System (MQM&TDR).

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average